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Question
76 Calculate and interpret F for each effect based on the following data.Source SS df
Treatment group 1700.50 4
Problem severity 1144.57 2
Treatment X Severity 3008.504 8
Error 30412.86 186
Total 36266.434 200
Answer
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Related questions
Q:
58 What happens to the standard deviation when a constant is added to each score? Use the following set of data, and a constant of 2 to illustrate your answer.
1 2 3 4
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55 Based on the same data, calculate:
a) The median location
b) The median
c) The hinge location
d) The upper hinge
e) The lower hinge
f) H spread
g) Lower fence
h) Upper fence
i) Lower adjacent value
j) Upper adjacent value
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a) interquartile range
b) boxplot
c) range
d) trimmed statistics
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15+ Data points at the extremes of the distribution have
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Q:
44 Algebraically, the mean = (ï“X)2/N.
Q:
35 Which of the following is probably most useful in studies in which extreme scores sometimes occur but have no real practical significance?
a) mean
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28 For the following data set [1, 9, 9, 9, 11, 28], which of the following is false?
a) The mode is 9.
b) The median is 9.
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21 Suppose a sample of children reported how many voices they heard in their heads on a particular day, and that hearing voices was a relatively uncommon experience. In this case the mode
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b) will tell us nothing about the children who do hear voices.
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Q:
18 is the symbol commonly used for the
a) mean.
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13 The chief advantage of the median is that
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b) it is best used with nominal scales.
c) *it is not disproportionately affected by extreme scores.
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11+ Given the numbers 6 7 9 11 15 71 86, how many numbers fall below the median?
a) 3
b) 11
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d) 6, 7, 9, and 11
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7+ Which of the following is useful with data collected with nominal scales?
a) median
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Q:
10 When we plot a histogram, the values on the X axis are
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b) the midpoints
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d) any of the above, depending on what makes the most sense at the time
Q:
36 Multiple regression analysis yielded the following regression equation:
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a) Happiness increases as Friends increase.
b) Happiness increases as Stress increases.
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25+ If we know that a regression coefficient is statistically significant, we know that
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20 If we find all of the residuals when predicting our obtained values of Y from the regression equation, the sum of squared residuals would be expected to be _______ the sum of the squared residuals for a new set of data.
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b) greater than
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Q:
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b) 10
c) 16
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Q:
2+ Assume that we generated a prediction just by adding together the number of stressful events you report experiencing over the last month, the number of close friends you have, and your score on a measure assessing how much control you feel you have over events in your life (i.e., prediction = stress + friends + control). The regression coefficient for stressful events would be
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c) 0.0
d) There is no way to know.
Q:
20+ When we think in terms of standardized data, the slope represents
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b) the number of standard deviations will differ for a one standard deviation difference in X.
c) the height of the regression line.
d) 0.
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19 When we have standardized data, the slope will be denoted as
Q:
17 In the equation = 12.6 X + 5
a) a difference of one unit in X will lead to a 5 point difference in the prediction.
b) will decrease as X increases.
c) the correlation is certain to be significant.
d) a difference of one unit in X will lead to a 12.6 point difference in the prediction.
Q:
13 The "best fitting line" is that regression line that
a) minimizes the errors of prediction.
b) minimizes each squared error of prediction.
c) minimizes the sum of squared errors of prediction.
d) hits the most points as it goes through the scatterplot.